Day 8 done. The dashboard is live.
https://t.co/6GS4cNDeXT
Built with Astro SSR + Cloudflare Pages.
Bloomberg-dark aesthetic.
Mock data today. Live pipeline next.
The alerts feed is the page I'm most proud of.
Every divergence signal. In order. With the reasoning.
$TSLA DOUBLE OVERBOUGHT +91 | RSI 76.8
$NVDA WHALE EXIT +87 | Druckenmiller 13F full exit
$GOOGL SENTIMENT SHIFT | -42pts in 2 hours
6 days of backend work.
This is what it looks like.
Day 3/14 of @CrowdVsWhale 🐳. PR merged.
Hardest day yet.
90% spent learning Agno and building a readable pipeline.
CROW now runs as a proper Agno workflow step. Not a script. A real agent in a real pipeline.
Today's result: ran CROW on $CBRS Cerebras analysing @cerebras. Screenshot below.
@CrowdVsWhale built on @AgnoAgi run on @cerebras 🔥🔥🔥🔥🔥
Github -> https://t.co/KjNkyR18bu
#buildinpublic #AI #agents #fintech
I spent 400+ hours training computer vision models last year on my road to Kaggle Master.
I recently revisited my code and notes from those competitions and distilled them into a repeatable process that anyone can follow.
7 steps to train any computer vision model 🧵
Computer vision research feels a bit stagnating in a local minimum of 2D texture recognition on ImageNet, COCO etc. This is great but only step 1. Unlocking further progress needs new framework:
1) the data source has to become diverse videos, not individual frames from internet
After 8 years and 137 competitions, it’s time to retire from @kaggle. Highest rank was #183. If only they awarded medals for March Madness back then… 🥇
More incredible work by OpenAI. They have built a neural theorem prover that can successfully solve many high-school Math Olympiad problems. The prover uses a language model to find proofs of formal statements.
https://t.co/drVQQFWrgu
#NLP#ML#DL#AI
Excited to share the project #AlphaCode I’ve been working on for more than 2 years! Can’t believe we started before COVID is a thing and worked through this project mostly at home, with an amazing team!
We're thrilled to announce that we've raised a $100m+ Series C to continue building our developer-first MLOps platform.
We'd like to thank our users, community & friends – this would not have been possible with you.
https://t.co/o32vbd6Qne
Errr ok wow, I am shook by the new ConvMixer architecture
https://t.co/crUMktQ0ig "the first model that achieves the elusive dual goals of 80%+ ImageNet top-1 accuracy while also fitting into a tweet" 😐